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Predictive Models of Insulin Resistance Derived from Simple Morphometric and Metabolic Measurements Related to Obesity in Baboons.
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Predictive Models of Insulin Resistance Derived from Simple Morphometric and Metabolic Measurements Related to Obesity in Baboons.

  • Alberto Chavez1,
  • Amalia Gastaldelli2,
  • Juan Carlos Lopez-Alvarenga3,
  • Rodolfo Guardado-Mendoza1,
  • Michelle Leland4,
  • M. Elizabeth Tejero5,
  • GianPio Sorice1,
  • Alberto Davalli6,
  • Raul Bastarrachea7,
  • Anthony Comuzzie8,
  • Ralph DeFronzo9 &
  • …
  • Franco Folli10 

Nature Precedings (2008)Cite this article

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Abstract

Non-human primates are valuable models for the study of insulin resistance and human obesity. In baboons, insulin sensitivity levels can be evaluated directly with the euglycemic clamp and is highly predicted by adiposity, metabolic markers of obesity and impaired glucose metabolism (i.e. percent body fat by DXA and hemoglobin A1C). However, a simple method to screen and identify obese insulin resistant baboons for inclusion in interventional studies is not available. We characterized a population of obese nondiabetic, insulin resistant baboons using the euglycemic clamp technique and used a multivariate linear regression analysis (after adjustment for gender) to test three different predictive models for insulin sensitivity. In the first model, abdominal circumference explained 63% of insulin mediated glucose uptake. The second model, which included fasting plasma insulin (log transformed) and abdominal circumference, explained 69% of insulin-stimulated glucose uptake. The third model, which contained abdominal circumference and 1/log (FPI+FPG), explained 70% of insulin sensitivity. In baboons, simple morphometric measurements of adiposity/obesity, i.e. abdominal circumference, plus baseline markers of glucose metabolism, i.e. fasting plasma glucose and insulin, provide a feasible method to screen and identify overweight/obese insulin resistant baboons for inclusion interventional studies aimed to study human obesity and type 2 diabetes.

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Authors and Affiliations

  1. University of Texas Health Science Center at San Antonio, Medicine https://www.nature.com/nature

    Alberto Chavez, Rodolfo Guardado-Mendoza & GianPio Sorice

  2. Institute of Clinical Physiology-National Research Council https://www.nature.com/nature

    Amalia Gastaldelli

  3. Southwest Foundation for Biomedical Research, Genetics https://www.nature.com/nature

    Juan Carlos Lopez-Alvarenga

  4. University of Texas Health Science Center at San Antonio, Lab Animal Resources https://www.nature.com/nature

    Michelle Leland

  5. Southwest Foundation for Biomedical Research / Southwest National Primate Research Center, Genetics https://www.nature.com/nature

    M. Elizabeth Tejero

  6. Istituto Scientifico San Raffaele https://www.nature.com/nature

    Alberto Davalli

  7. Univ Texas, San Antonio https://www.nature.com/nature

    Raul Bastarrachea

  8. Southwest Foundation for Biomedical Research https://www.nature.com/nature

    Anthony Comuzzie

  9. UTHSCSA, Medicine https://www.nature.com/nature

    Ralph DeFronzo

  10. University of Texas Health Science Center at San Antonio, San Antonio, Texas, Diabetes

    Franco Folli

Authors
  1. Alberto Chavez
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  2. Amalia Gastaldelli
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  3. Juan Carlos Lopez-Alvarenga
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  4. Rodolfo Guardado-Mendoza
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  5. Michelle Leland
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  6. M. Elizabeth Tejero
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  7. GianPio Sorice
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  8. Alberto Davalli
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  9. Raul Bastarrachea
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  10. Anthony Comuzzie
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  11. Ralph DeFronzo
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  12. Franco Folli
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Cite this article

Chavez, A., Gastaldelli, A., Lopez-Alvarenga, J. et al. Predictive Models of Insulin Resistance Derived from Simple Morphometric and Metabolic Measurements Related to Obesity in Baboons.. Nat Prec (2008). https://doi.org/10.1038/npre.2008.2429.1

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  • Received: 22 October 2008

  • Accepted: 24 October 2008

  • Published: 24 October 2008

  • DOI: https://doi.org/10.1038/npre.2008.2429.1

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Keywords

  • Insulin-Resistance
  • Predictive-Models
  • Type 2 diabetes
  • Non-Human Primates
  • Obesity
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